Intelligent HR Systems in Global Organizations: Embracing Industry 4.0 for a Smart Future

Intelligent HR systems have become a transformative force for global organizations, driven by AI, machine learning, and data analytics to embrace Industry 4.0 opportunities. This paper explores their implications, highlighting their potential to drive efficiency, enhance employee experience, and foster a smart future. It emphasizes the necessity for businesses to adopt these systems to maintain competitiveness in a constantly changing world economy. The paper discusses various applications of intelligent HR systems in international organizations, including recruitment, predictive talent management, AI-driven training, and chatbots in HR services. Challenges in implementing these systems are addressed, such as ethical considerations in algorithm-based decision-making, data privacy, and reskilling HR professionals. Striking a balance between efficiency gains and human-centric values is emphasized. The research methodology employed for this study primarily involved a comprehensive literature review approach. By thoroughly examining academic journals, industry reports, and relevant publications, the study synthesized existing knowledge and insights on intelligent HR systems. The study encourages multinational corporations to leverage intelligent HR systems to optimize practices, empower employees, and achieve business objectives through AI and data-driven decision-making, while emphasizing the importance of ethical considerations, data protection, and ongoing training for HR professionals.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/sparc61891.2024.10829147
Primary Topic
Collaboration in agile enterprises
Type
article
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Intelligent HR Systems in Global Organizations: Embracing Industry 4.0 for a Smart Future

Anshul Srivastava, Anamika Pandey, Pratibha Pandey, Navita Mahajan et al.
Collaboration in agile enterprises
article

Intelligent HR Systems in Global Organizations: Embracing Industry 4.0 for a Smart Future

Anshul Srivastava, Anamika Pandey, Pratibha Pandey, Navita Mahajan, S. Kazim Naqvi, Shilpi Bisht
article en

Abstract

Intelligent HR systems have become a transformative force for global organizations, driven by AI, machine learning, and data analytics to embrace Industry 4.0 opportunities. This paper explores their implications, highlighting their potential to drive efficiency, enhance employee experience, and foster a smart future. It emphasizes the necessity for businesses to adopt these systems to maintain competitiveness in a constantly changing world economy. The paper discusses various applications of intelligent HR systems in international organizations, including recruitment, predictive talent management, AI-driven training, and chatbots in HR services. Challenges in implementing these systems are addressed, such as ethical considerations in algorithm-based decision-making, data privacy, and reskilling HR professionals. Striking a balance between efficiency gains and human-centric values is emphasized. The research methodology employed for this study primarily involved a comprehensive literature review approach. By thoroughly examining academic journals, industry reports, and relevant publications, the study synthesized existing knowledge and insights on intelligent HR systems. The study encourages multinational corporations to leverage intelligent HR systems to optimize practices, empower employees, and achieve business objectives through AI and data-driven decision-making, while emphasizing the importance of ethical considerations, data protection, and ongoing training for HR professionals.

Galgotias University (IN), Institute of Management Technology (IN), Amity University (IN), Era's Lucknow Medical College and Hospital (IN), Birla Institute of Technology and Science, Pilani (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Collaboration in agile enterprises
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Intelligent HR Systems in Global Organizations: Embracing Industry 4.0 for a Smart Future — Anshul Srivastava, Anamika Pandey, et al. · (2024) | TGRS Research Map | TGRS